Department of Clinical Pathomorphology, Faculty of Medicine, Collegium Medicum in Bydgoszcz, 49577Nicolaus Copernicus University, Toruń, Poland.
Department of Histology and Embryology, Faculty of Medicine, Collegium Medicum in Bydgoszcz, 49577Nicolaus Copernicus University, Toruń, Poland.
Cancer Control. 2021 Jan-Dec;28:10732748211056697. doi: 10.1177/10732748211056697.
This study aimed to explore the prognostic value of SATB1, SMAD3, and TLR2 expression in non-small-cell lung carcinoma patients with clinical stages I-II. To investigate, we evaluated immunohistochemical staining to each of these markers using tissue sections from 69 patients from our cohort and gene expression data for The Cancer Genome Atlas (TCGA) cohort. We found that, in our cohort, high expression levels of nuclear SATB1 and SMAD3 were independent prognostic markers for better overall survival (OS) in NSCLC patients. Interestingly, expression of cytoplasmic SATB1 exhibited a significant but inverse association with survival rate, and it was an independent predictor of unfavorable prognosis. Likewise, TLR2 was a negative outcome biomarker for NSCLC even when adjusting for covariates. Importantly, stratification of NSCLCs with respect to combined expression of the three biomarkers allowed us to identify subgroups of patients with the greatest difference in duration of survival. Specifically, expression profile of SATB1/SMAD3/TLR2 was associated with the best OS, and it was superior to each single protein alone in predicting patient prognosis. Furthermore, based on the TCGA dataset, we found that overexpression of SATB1 mRNA was significantly associated with better OS, whereas high mRNA levels of SMAD3 and TLR2 with poor OS. In conclusion, the present study identified a set of proteins that may play a significant role in predicting prognosis of NSCLC patients with clinical stages I-II.
本研究旨在探讨 SATB1、SMAD3 和 TLR2 表达在临床 I-II 期非小细胞肺癌患者中的预后价值。为此,我们使用来自我们队列的 69 名患者的组织切片评估了这些标志物的免疫组织化学染色,并利用癌症基因组图谱(TCGA)队列的基因表达数据进行了研究。我们发现,在我们的队列中,核 SATB1 和 SMAD3 的高表达水平是非小细胞肺癌患者总生存率(OS)的独立预后标志物。有趣的是,细胞质 SATB1 的表达与生存率呈显著负相关,并且是预后不良的独立预测因子。同样,TLR2 是 NSCLC 的负面预后生物标志物,即使在调整协变量后也是如此。重要的是,根据三种生物标志物的联合表达对 NSCLC 进行分层,使我们能够识别出生存率差异最大的患者亚组。具体而言,SATB1/SMAD3/TLR2 的表达谱与最佳 OS 相关,并且在预测患者预后方面优于每个单独的蛋白。此外,基于 TCGA 数据集,我们发现 SATB1 mRNA 的高表达与更好的 OS 显著相关,而 SMAD3 和 TLR2 的高 mRNA 水平与较差的 OS 相关。总之,本研究确定了一组可能在预测临床 I-II 期非小细胞肺癌患者预后方面发挥重要作用的蛋白。